Toward Federated-Learning-Enabled Visible Light Communication in 6G Systems
Author:
Affiliation:
1. Khalifa University,UAE
2. Technology Innovation Institute,UAE
Funder
Khalifa University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7742/9749173/09749224.pdf?arnumber=9749224
Reference15 articles.
1. Threats to Federated Learning: A Survey;lyu;ArXiv Preprint,2020
2. Federated Learning in Vehicular Networks: Opportunities and Solutions
3. Federated Learning Systems: Architecture Alternatives
4. Federated Learning for Channel Estimation in Conventional and IRS-Assisted Massive MIMO;elbir;ArXiv Preprint,2020
5. Experienced Deep Reinforcement Learning With Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication
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